Intutic vs Portkey

Portkey is an AI gateway built for LLM observability, caching, and routing. It logs requests, tracks costs, and provides dashboards for monitoring model performance. Intutic is a synchronous enforcement layer that blocks bad actions before they happen.

The Core Difference

Portkey observes LLM traffic after the fact. Intutic intercepts tool calls in real time and decides whether to allow, modify, or block them — in under 50ms.

If your AI agent tries to rm -rf /, Portkey will log it. Intutic will kill it.

Comparison

Capability	Intutic	Portkey
Enforcement model	Synchronous — blocks before execution	Async — logs after execution
Latency overhead	<50ms per tool call	N/A (post-hoc)
Circuit breaker actions	BYPASS / ENHANCE / HIJACK / KILL	Not available
Custom policy rules	WASM sandbox — run your own rules	JSON config guardrails
Model routing	Thompson Sampling bandit (cost + quality)	Round-robin, fallback chains
Harness coverage	18 AI coding agents (Claude Code, Cursor, Antigravity, etc.)	SDK-based integration
Config sync	Bidirectional daemon — SOPs sync to agents, configs sync to cloud	One-way SDK push
Data residency	Local-first — proxy runs on your machine	Cloud-hosted gateway
DLP / threat detection	Secrets redaction, SQL injection, prompt injection	Basic content filtering
FinOps & Budgets	CFO Ledger & GL cost allocations, seat reclamation	Cost tracking and budget caps
Audit trail	Full tool-call-level audit with enforcement decisions	Request-level logging
Prompt Management	Prompt Library with versioning snapshots & Myers LCS diffs	Basic prompt registry
Semantic Cache & Recall	Hindsight Memory (Search-First & workspace privacy)	Basic semantic caching
Agent Sandboxing	Simulation Sandbox & CoW MicroVM attestation	Not available

Integration Comparison

Portkey (SDK Integration)

Portkey requires importing their proprietary SDK and wrapping your LLM client calls. This couples your application logic to Portkey's libraries.

import { Portkey } from 'portkey-ai';

// Initialize the Portkey client
const portkey = new Portkey({
  apiKey: "YOUR_PORTKEY_API_KEY",
  virtualKey: "YOUR_PROVIDER_VIRTUAL_KEY"
});

// Execute wrapped chat completion
const response = await portkey.chat.completions.create({
  messages: [{ role: 'user', content: 'Scan repository files' }],
  model: 'gpt-4o'
});

Intutic (Local Proxy Integration)

Intutic requires zero code changes or vendor SDK imports. Your agent logic remains standard. You simply point your standard OpenAI/Anthropic client to the locally running Intutic proxy gateway (localhost:4000).

import OpenAI from 'openai';

// Connect to standard client pointing to local Intutic proxy
const openai = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "http://127.0.0.1:4000/v1" // Point to Intutic proxy
});

// Standard completion call, automatically governed and audited
const response = await openai.chat.completions.create({
  messages: [{ role: 'user', content: 'Scan repository files' }],
  model: 'gpt-4o'
});

When to Choose Intutic

• You need to prevent bad actions, not just log them
• Your agents write files, run commands, and mutate databases
• You want policy enforcement that runs locally without sending data to a third-party cloud
• You need coverage across 18 AI coding harnesses out of the box
• You want to write custom WASM rules for domain-specific enforcement

When to Choose Portkey

• You only need request-level observability and caching for LLM API calls
• Your use case is pure LLM API routing without tool-call interception
• You don't need synchronous enforcement

Summary

Portkey is an LLM gateway. Intutic is an AI agent firewall. They solve different problems at different layers. If your AI agents interact with infrastructure — files, databases, APIs, git — Intutic is the enforcement layer you need.

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